{"id":"W4410564333","doi":"10.5539/jel.v14n5p283","title":"Driving SMT Competency-Based Curriculum with Area Potential Integration in Thailand’s Education Sandbox","year":2025,"lang":"en","type":"article","venue":"Journal of Education and Learning","topic":"Higher Education Learning Practices","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute for the Promotion of Teaching Science and Technology","keywords":"Sandbox (software development); Curriculum; Mathematics education; Psychology; Pedagogy; Medical education; Computer science; Library science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001314892,0.00009057886,0.0001484771,0.0004361005,0.000429522,0.0002368382,0.0001211401,0.00006973208,0.0001752705],"category_scores_gemma":[0.001335902,0.00007773921,0.00003486791,0.0005840601,0.00008142699,0.0005917682,0.00000736534,0.0006136749,0.000003361299],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001840592,"about_ca_system_score_gemma":0.005727861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006609661,"about_ca_topic_score_gemma":0.00051948,"domain_scores_codex":[0.9984748,0.0006675493,0.0003239567,0.0001308121,0.0002625965,0.0001403147],"domain_scores_gemma":[0.9985318,0.0002630626,0.0005432914,0.00006654576,0.0005013369,0.00009402617],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004131574,0.0006276294,0.8359407,0.0000292438,0.00001934075,0.000001084651,0.02987735,0.002041653,0.0002330242,0.007956541,0.001771596,0.1214605],"study_design_scores_gemma":[0.0007417267,0.0001917434,0.515131,0.001749758,0.00009685499,0.00001968151,0.2148865,0.001154795,0.00004601914,0.0008455675,0.2648793,0.0002570146],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9580981,0.0006712537,0.003320969,0.02298054,0.001660773,0.0001505586,6.82555e-8,0.00001911754,0.01309863],"genre_scores_gemma":[0.9918536,0.00009519884,0.004373556,0.0003114683,0.0003381841,0.00000988216,0.000004983905,0.000006513222,0.003006638],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3208097,"threshold_uncertainty_score":0.9999087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008233364817536672,"score_gpt":0.3317726604147657,"score_spread":0.323539295597229,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}